{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3d45121a",
   "metadata": {},
   "outputs": [],
   "source": [
    "#| hide\n",
    "!pip install -Uqq nixtla"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2680fe00",
   "metadata": {},
   "outputs": [],
   "source": [
    "#| hide \n",
    "from nixtla.utils import in_colab"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1ca7f087",
   "metadata": {},
   "outputs": [],
   "source": [
    "#| hide \n",
    "IN_COLAB = in_colab()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "be850b37",
   "metadata": {},
   "outputs": [],
   "source": [
    "#| hide\n",
    "if not IN_COLAB:\n",
    "    from nixtla.utils import colab_badge\n",
    "    from itertools import product\n",
    "    from fastcore.test import test_eq, test_fail, test_warns\n",
    "    from dotenv import load_dotenv    "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0241d5c1-8d11-4cb9-9259-cda5fffa7ea8",
   "metadata": {},
   "source": [
    "# Prediction intervals"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0f73b521-05f2-4c53-b44c-d988bf8fe7b9",
   "metadata": {},
   "source": [
    "In forecasting, we are often interested in a distribution of predictions rather than only a point prediction, because we want to have a notion of the uncertainty around the forecast.\n",
    "\n",
    "To this end, we can create _prediction intervals_.\n",
    "\n",
    "Prediction intervals have an intuitive interpretation, as they present a specific range of the forecast distribution. For instance, a 95% prediction interval means that 95 out of 100 times, we expect the future value to fall within the estimated range. Therefore, a wider interval indicates greater uncertainty about the forecast, while a narrower interval suggests higher confidence.\n",
    "\n",
    "With TimeGPT, we can create a distribution of forecasts, and extract the prediction intervals for a required level.\n",
    "\n",
    "TimeGPT uses [conformal prediction](https://en.wikipedia.org/wiki/Conformal_prediction) to produce the prediction intervals."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cdf86af8-08c0-4118-bd6b-0b88a6eac3f7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "[![](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Nixtla/nixtla/blob/main/nbs/docs/tutorials/11_uncertainty_quantification_with_prediction_intervals.ipynb)"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#| echo: false\n",
    "if not IN_COLAB:\n",
    "    load_dotenv()    \n",
    "    colab_badge('docs/tutorials/11_uncertainty_quantification_with_prediction_intervals')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9e49342d",
   "metadata": {},
   "source": [
    "## 1. Import packages\n",
    "First, we import the required packages and initialize the Nixtla client"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8a5181e9-634c-4002-9c22-d65f0701fa14",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from nixtla import NixtlaClient"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9872d00d-ecb1-4a14-9813-bf0c56e70392",
   "metadata": {},
   "outputs": [],
   "source": [
    "nixtla_client = NixtlaClient(\n",
    "    # defaults to os.environ.get(\"NIXTLA_API_KEY\")\n",
    "    api_key = 'my_api_key_provided_by_nixtla'\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4ec82f80",
   "metadata": {},
   "source": [
    "> 👍 Use an Azure AI endpoint\n",
    ">\n",
    "> To use an Azure AI endpoint, set the `base_url` argument:\n",
    ">\n",
    "> `nixtla_client = NixtlaClient(base_url=\"you azure ai endpoint\", api_key=\"your api_key\")`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "50eac17f-3c72-4f68-988a-1d5d877dff2b",
   "metadata": {},
   "outputs": [],
   "source": [
    "#| hide\n",
    "if not IN_COLAB:\n",
    "    nixtla_client = NixtlaClient()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b73a23a8",
   "metadata": {},
   "source": [
    "## 2. Load data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "31b1e602-f8ee-49c4-8819-fcc093d64ab1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>timestamp</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1949-01-01</td>\n",
       "      <td>112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1949-02-01</td>\n",
       "      <td>118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1949-03-01</td>\n",
       "      <td>132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1949-04-01</td>\n",
       "      <td>129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1949-05-01</td>\n",
       "      <td>121</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    timestamp  value\n",
       "0  1949-01-01    112\n",
       "1  1949-02-01    118\n",
       "2  1949-03-01    132\n",
       "3  1949-04-01    129\n",
       "4  1949-05-01    121"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('https://raw.githubusercontent.com/Nixtla/transfer-learning-time-series/main/datasets/air_passengers.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3de9945d",
   "metadata": {},
   "source": [
    "## 3. Forecast with prediction intervals\n",
    "When using TimeGPT for time series forecasting, you can set the level (or levels) of prediction intervals according to your requirements. Here's how you could do it:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "174db3ef-71ff-4bdf-92f3-e3277bb76c43",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:nixtla.nixtla_client:Validating inputs...\n",
      "INFO:nixtla.nixtla_client:Preprocessing dataframes...\n",
      "INFO:nixtla.nixtla_client:Inferred freq: MS\n",
      "INFO:nixtla.nixtla_client:Restricting input...\n",
      "INFO:nixtla.nixtla_client:Calling Forecast Endpoint...\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>timestamp</th>\n",
       "      <th>TimeGPT</th>\n",
       "      <th>TimeGPT-lo-99.7</th>\n",
       "      <th>TimeGPT-lo-90</th>\n",
       "      <th>TimeGPT-lo-80</th>\n",
       "      <th>TimeGPT-hi-80</th>\n",
       "      <th>TimeGPT-hi-90</th>\n",
       "      <th>TimeGPT-hi-99.7</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1961-01-01</td>\n",
       "      <td>437.837952</td>\n",
       "      <td>415.826484</td>\n",
       "      <td>423.783737</td>\n",
       "      <td>431.987091</td>\n",
       "      <td>443.688812</td>\n",
       "      <td>451.892166</td>\n",
       "      <td>459.849419</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1961-02-01</td>\n",
       "      <td>426.062744</td>\n",
       "      <td>402.833553</td>\n",
       "      <td>407.694092</td>\n",
       "      <td>412.704956</td>\n",
       "      <td>439.420532</td>\n",
       "      <td>444.431396</td>\n",
       "      <td>449.291935</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1961-03-01</td>\n",
       "      <td>463.116577</td>\n",
       "      <td>423.434092</td>\n",
       "      <td>430.316893</td>\n",
       "      <td>437.412564</td>\n",
       "      <td>488.820590</td>\n",
       "      <td>495.916261</td>\n",
       "      <td>502.799062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1961-04-01</td>\n",
       "      <td>478.244507</td>\n",
       "      <td>444.885193</td>\n",
       "      <td>446.776764</td>\n",
       "      <td>448.726837</td>\n",
       "      <td>507.762177</td>\n",
       "      <td>509.712250</td>\n",
       "      <td>511.603821</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1961-05-01</td>\n",
       "      <td>505.646484</td>\n",
       "      <td>465.736694</td>\n",
       "      <td>471.976787</td>\n",
       "      <td>478.409872</td>\n",
       "      <td>532.883096</td>\n",
       "      <td>539.316182</td>\n",
       "      <td>545.556275</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    timestamp     TimeGPT  TimeGPT-lo-99.7  TimeGPT-lo-90  TimeGPT-lo-80  \\\n",
       "0  1961-01-01  437.837952       415.826484     423.783737     431.987091   \n",
       "1  1961-02-01  426.062744       402.833553     407.694092     412.704956   \n",
       "2  1961-03-01  463.116577       423.434092     430.316893     437.412564   \n",
       "3  1961-04-01  478.244507       444.885193     446.776764     448.726837   \n",
       "4  1961-05-01  505.646484       465.736694     471.976787     478.409872   \n",
       "\n",
       "   TimeGPT-hi-80  TimeGPT-hi-90  TimeGPT-hi-99.7  \n",
       "0     443.688812     451.892166       459.849419  \n",
       "1     439.420532     444.431396       449.291935  \n",
       "2     488.820590     495.916261       502.799062  \n",
       "3     507.762177     509.712250       511.603821  \n",
       "4     532.883096     539.316182       545.556275  "
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "timegpt_fcst_pred_int_df = nixtla_client.forecast(\n",
    "    df=df, h=12, level=[80, 90, 99.7], \n",
    "    time_col='timestamp', target_col='value',\n",
    ")\n",
    "timegpt_fcst_pred_int_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e7cefb13",
   "metadata": {},
   "source": [
    "> 📘 Available models in Azure AI\n",
    ">\n",
    "> If you are using an Azure AI endpoint, please be sure to set `model=\"azureai\"`:\n",
    ">\n",
    "> `nixtla_client.forecast(..., model=\"azureai\")`\n",
    "> \n",
    "> For the public API, we support two models: `timegpt-1` and `timegpt-1-long-horizon`. \n",
    "> \n",
    "> By default, `timegpt-1` is used. Please see [this tutorial](https://docs.nixtla.io/docs/tutorials-long_horizon_forecasting) on how and when to use `timegpt-1-long-horizon`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "10fe6283-e01d-4afb-acbd-344726a0518f",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:nixtla.nixtla_client:Validating inputs...\n",
      "INFO:nixtla.nixtla_client:Preprocessing dataframes...\n",
      "INFO:nixtla.nixtla_client:Inferred freq: MS\n",
      "INFO:nixtla.nixtla_client:Restricting input...\n",
      "INFO:nixtla.nixtla_client:Calling Forecast Endpoint...\n"
     ]
    }
   ],
   "source": [
    "#| hide\n",
    "# test shorter horizon\n",
    "if not IN_COLAB:\n",
    "    level_short_horizon_df = nixtla_client.forecast(\n",
    "        df=df, h=6, level=[80, 90, 99.7], \n",
    "        time_col='timestamp', target_col='value',\n",
    "    )\n",
    "    test_eq(\n",
    "        level_short_horizon_df.shape,\n",
    "        (6, 8)\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "65c9add4-da01-4767-abb2-4addd9b3bbd4",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:nixtla.nixtla_client:Validating inputs...\n",
      "INFO:nixtla.nixtla_client:Preprocessing dataframes...\n",
      "INFO:nixtla.nixtla_client:Inferred freq: MS\n",
      "INFO:nixtla.nixtla_client:Restricting input...\n",
      "INFO:nixtla.nixtla_client:Calling Forecast Endpoint...\n"
     ]
    }
   ],
   "source": [
    "#| hide\n",
    "if not IN_COLAB:\n",
    "    test_level = [80, 90.5]\n",
    "    cols_fcst_df = nixtla_client.forecast(\n",
    "        df=df, h=12, level=test_level, \n",
    "        time_col='timestamp', target_col='value',\n",
    "    ).columns\n",
    "    assert all(f'TimeGPT-{pos}-{lv}' in cols_fcst_df for pos, lv in product(['lo', 'hi'], test_level) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0a2e1bab-2352-4c8d-addd-3b74fdcbdb93",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x350 with 1 Axes>"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nixtla_client.plot(\n",
    "    df, timegpt_fcst_pred_int_df, \n",
    "    time_col='timestamp', target_col='value',\n",
    "    level=[80, 90],\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8f3917c3-b5d3-4950-9ff4-32627849d3e7",
   "metadata": {},
   "source": [
    "It's essential to note that the choice of prediction interval level depends on your specific use case. For high-stakes predictions, you might want a wider interval to account for more uncertainty. For less critical forecasts, a narrower interval might be acceptable."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ea3023d2-0c86-417c-ad19-a1a584910534",
   "metadata": {},
   "source": [
    "#### Historical Forecast"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3c75269d-7cda-4bff-b18a-3a1193d8391e",
   "metadata": {},
   "source": [
    "You can also compute prediction intervals for historical forecasts adding the `add_history=True` parameter as follows:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e539081f-d5c5-4d82-b223-5b11cbd75503",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:nixtla.nixtla_client:Validating inputs...\n",
      "INFO:nixtla.nixtla_client:Preprocessing dataframes...\n",
      "INFO:nixtla.nixtla_client:Inferred freq: MS\n",
      "INFO:nixtla.nixtla_client:Calling Forecast Endpoint...\n",
      "INFO:nixtla.nixtla_client:Calling Historical Forecast Endpoint...\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>timestamp</th>\n",
       "      <th>TimeGPT</th>\n",
       "      <th>TimeGPT-lo-80</th>\n",
       "      <th>TimeGPT-lo-90</th>\n",
       "      <th>TimeGPT-hi-80</th>\n",
       "      <th>TimeGPT-hi-90</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1951-01-01</td>\n",
       "      <td>135.483673</td>\n",
       "      <td>111.937767</td>\n",
       "      <td>105.262830</td>\n",
       "      <td>159.029579</td>\n",
       "      <td>165.704516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1951-02-01</td>\n",
       "      <td>144.442413</td>\n",
       "      <td>120.896508</td>\n",
       "      <td>114.221571</td>\n",
       "      <td>167.988319</td>\n",
       "      <td>174.663256</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1951-03-01</td>\n",
       "      <td>157.191910</td>\n",
       "      <td>133.646004</td>\n",
       "      <td>126.971067</td>\n",
       "      <td>180.737815</td>\n",
       "      <td>187.412752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1951-04-01</td>\n",
       "      <td>148.769379</td>\n",
       "      <td>125.223473</td>\n",
       "      <td>118.548536</td>\n",
       "      <td>172.315284</td>\n",
       "      <td>178.990221</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1951-05-01</td>\n",
       "      <td>140.472946</td>\n",
       "      <td>116.927041</td>\n",
       "      <td>110.252104</td>\n",
       "      <td>164.018852</td>\n",
       "      <td>170.693789</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    timestamp     TimeGPT  TimeGPT-lo-80  TimeGPT-lo-90  TimeGPT-hi-80  \\\n",
       "0  1951-01-01  135.483673     111.937767     105.262830     159.029579   \n",
       "1  1951-02-01  144.442413     120.896508     114.221571     167.988319   \n",
       "2  1951-03-01  157.191910     133.646004     126.971067     180.737815   \n",
       "3  1951-04-01  148.769379     125.223473     118.548536     172.315284   \n",
       "4  1951-05-01  140.472946     116.927041     110.252104     164.018852   \n",
       "\n",
       "   TimeGPT-hi-90  \n",
       "0     165.704516  \n",
       "1     174.663256  \n",
       "2     187.412752  \n",
       "3     178.990221  \n",
       "4     170.693789  "
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "timegpt_fcst_pred_int_historical_df = nixtla_client.forecast(\n",
    "    df=df, h=12, level=[80, 90], \n",
    "    time_col='timestamp', target_col='value',\n",
    "    add_history=True,\n",
    ")\n",
    "timegpt_fcst_pred_int_historical_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1b9dddbe-0c5a-4d21-abcf-f664e176c7a7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2400x350 with 1 Axes>"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nixtla_client.plot(\n",
    "    df, timegpt_fcst_pred_int_historical_df, \n",
    "    time_col='timestamp', target_col='value',\n",
    "    level=[80, 90],\n",
    ")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "python3",
   "language": "python",
   "name": "python3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
